create_team_memberships
Add users to Datadog teams to manage access and permissions for monitoring and log management operations.
Instructions
Add a user to a team.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Add users to Datadog teams to manage access and permissions for monitoring and log management operations.
Add a user to a team.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. 'Add' implies a mutation, but it doesn't specify required permissions, whether the operation is idempotent, what happens on duplicate additions, or what the response looks like. For a mutation tool with zero annotation coverage, this leaves significant behavioral gaps.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence with no wasted words. It's front-loaded with the core action and resource, making it easy to parse quickly.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a mutation tool with no annotations, no output schema, and zero parameters, the description is incomplete. It doesn't explain how user and team are specified (likely via context or defaults), what the return value is, or any error conditions. The agent lacks sufficient context to use this tool correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has 0 parameters with 100% schema description coverage, so the schema already fully documents the lack of parameters. The description doesn't need to add parameter semantics, but it correctly implies the tool likely uses context or defaults (e.g., user and team identifiers might be inferred). Baseline is 4 for zero-parameter tools.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'Add a user to a team' clearly states the verb ('Add') and resource ('user to a team'), making the tool's purpose immediately understandable. It distinguishes from siblings like 'create_teams' (creates teams) and 'delete_team_memberships' (removes users), though it doesn't explicitly name these alternatives.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., existing team/user), constraints, or compare with sibling tools like 'update_team_memberships' for modifying memberships or 'get_team_memberships' for viewing them.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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